Parametric Volumetric Registration

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

Standard

Parametric Volumetric Registration. / Yushkevich, Paul A.; Zhang, Miaomiao; Sporring, Jon.

Medical Image Analysis. ed. / Alejandro Frangi; Jerry Prince; Milan Sonka. Academic Press, 2023. p. 331-354.

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

Harvard

Yushkevich, PA, Zhang, M & Sporring, J 2023, Parametric Volumetric Registration. in A Frangi, J Prince & M Sonka (eds), Medical Image Analysis. Academic Press, pp. 331-354. https://doi.org/10.1016/B978-0-12-813657-7.00028-5

APA

Yushkevich, P. A., Zhang, M., & Sporring, J. (2023). Parametric Volumetric Registration. In A. Frangi, J. Prince, & M. Sonka (Eds.), Medical Image Analysis (pp. 331-354). Academic Press. https://doi.org/10.1016/B978-0-12-813657-7.00028-5

Vancouver

Yushkevich PA, Zhang M, Sporring J. Parametric Volumetric Registration. In Frangi A, Prince J, Sonka M, editors, Medical Image Analysis. Academic Press. 2023. p. 331-354 https://doi.org/10.1016/B978-0-12-813657-7.00028-5

Author

Yushkevich, Paul A. ; Zhang, Miaomiao ; Sporring, Jon. / Parametric Volumetric Registration. Medical Image Analysis. editor / Alejandro Frangi ; Jerry Prince ; Milan Sonka. Academic Press, 2023. pp. 331-354

Bibtex

@inbook{3191bf482c2c4ad6a14072194f893557,
title = "Parametric Volumetric Registration",
abstract = "Volumetric registration (VR) is one of the most studied problems in the medical image analysis field. This chapter begins by highlighting common medical image analysis problems that require VR (e.g., within-subject longitudinal registration, fusion of imaging modalities during image-guided surgery, or groupwise normalization for fMRI analysis) and describing the basic elements of the VR pipeline, such as spatial transformations, dissimilarity metrics and regularization terms. The latter part of the chapter focuses on registration approaches that parameterize spatial transformations using a limited set of coefficients, including rigid/affine transformations and B-Spline transformations. The chapter closes with a discussion of real-world considerations for implementing parametric VR.",
author = "Yushkevich, {Paul A.} and Miaomiao Zhang and Jon Sporring",
year = "2023",
month = sep,
day = "29",
doi = "10.1016/B978-0-12-813657-7.00028-5",
language = "English",
isbn = "9780128136577",
pages = "331--354",
editor = "Alejandro Frangi and Jerry Prince and Milan Sonka",
booktitle = "Medical Image Analysis",
publisher = "Academic Press",
address = "United States",

}

RIS

TY - CHAP

T1 - Parametric Volumetric Registration

AU - Yushkevich, Paul A.

AU - Zhang, Miaomiao

AU - Sporring, Jon

PY - 2023/9/29

Y1 - 2023/9/29

N2 - Volumetric registration (VR) is one of the most studied problems in the medical image analysis field. This chapter begins by highlighting common medical image analysis problems that require VR (e.g., within-subject longitudinal registration, fusion of imaging modalities during image-guided surgery, or groupwise normalization for fMRI analysis) and describing the basic elements of the VR pipeline, such as spatial transformations, dissimilarity metrics and regularization terms. The latter part of the chapter focuses on registration approaches that parameterize spatial transformations using a limited set of coefficients, including rigid/affine transformations and B-Spline transformations. The chapter closes with a discussion of real-world considerations for implementing parametric VR.

AB - Volumetric registration (VR) is one of the most studied problems in the medical image analysis field. This chapter begins by highlighting common medical image analysis problems that require VR (e.g., within-subject longitudinal registration, fusion of imaging modalities during image-guided surgery, or groupwise normalization for fMRI analysis) and describing the basic elements of the VR pipeline, such as spatial transformations, dissimilarity metrics and regularization terms. The latter part of the chapter focuses on registration approaches that parameterize spatial transformations using a limited set of coefficients, including rigid/affine transformations and B-Spline transformations. The chapter closes with a discussion of real-world considerations for implementing parametric VR.

U2 - 10.1016/B978-0-12-813657-7.00028-5

DO - 10.1016/B978-0-12-813657-7.00028-5

M3 - Book chapter

SN - 9780128136577

SP - 331

EP - 354

BT - Medical Image Analysis

A2 - Frangi, Alejandro

A2 - Prince, Jerry

A2 - Sonka, Milan

PB - Academic Press

ER -

ID: 365966060